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The rapid growth of sensors for a vast number of applications have required that CPU and processors be applied as part of the data acquisition systems for a number of applications including communication, position tracking, health care monitoring, environmental changes, and transportation. In addition, the advances in nanometer electronic systems, compressive sensing (CS) based information processing, and stream computing technologies provide great potential in creating novel hardware/software platforms and having fast data acquisition capability. Driven by these new technology developments, it is possible to develop a high speed “Adaptive Design for Information” (ADI) system that leverages the advantages of featurebased data compression, low power nanometer CMOS technology, and stream computing for biomedical instrumentation
Citation: Roveda JM, Powers LS (2015) Compressive Sensing: Real-time Data Acquisition and Analysis for Biosensors and Biomedical Instrumentation. Biosens J 4: e105
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